Menú
检查 agent 是否已加载 bootstrap 文件
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
Full-stack development workflow skill. Guides the complete cycle from understanding requirements to shipping code via PR with Preview validation. USE FOR: - Bug fixes, feature development, UI changes - "修复这个 bug", "帮我实现这个功能", "改一下这个页面" - "fix this", "implement", "build", "add feature", "change the UI" - Any code modification that needs Dev Server → PR → Preview → Merge flow REQUIRES: git, gh (GitHub CLI), pnpm/npm, agent-browser
Apple Silicon local ASR via Qwen3-ASR + MLX. Server-mode for stable memory. USE FOR: - "转文字", "转录", "transcribe this", "speech to text" - 任何音频/视频文件需要转文字时 - SRT/VTT 字幕生成 - 用户发音频/视频文件说"这个说的什么" - douyin-dl 下载后自动转文字 - Agent 需要处理语音内容时 ⚠️ ALWAYS use this skill for any audio/video transcription on Apple Silicon. Do NOT use whisper-transcribe (disabled). Apple Silicon only. No API key needed. No cloud dependency. Uses server-mode (model loaded once, ~4GB memory stable).
Convert Markdown to high-quality PNG/JPG images with zero whitespace, syntax highlighting (Shiki), and optional KaTeX math support. Uses Playwright (Chromium) for rendering with GitHub-style default theme. USE FOR: - Any request to render Markdown as an image - Code snippet screenshots with syntax highlighting - Markdown with math formulas (use --math flag) - Generating styled images for Discord/Telegram/Slack - "markdown转图片", "把这段md变成图片", "render markdown as image", "screenshot this code" - Converting README, changelogs, or docs to shareable images REQUIRES: md2img (npm global), playwright-core, chromium browser
Unified self-reflection and self-improvement. Three-layer memory: Golden Rules (SOUL.md) → Active Lessons (self-review.md) → Raw Log (daily). Auto-captures corrections, reflects at session end, promotes patterns that work. USE FOR: - User corrects agent behavior → auto-log and learn - Session end → "land the plane" reflection - Heartbeat timer → periodic self-check - "what have you learned", "show your lessons", "memory stats" - "remember this rule", "promote this pattern", "demote this" - Agent notices own mistake → self-log REPLACES: self-improving, self-reflection (merged into this skill) COMPANION: soul-keeper (independent — pushes lessons to workspace files) REQUIRES: jq, date
Transcribe audio/video to text using the best available ASR backend. Backend priority: MLX Qwen3-ASR (local, best for Chinese) → Groq API (fast, cloud) → whisper.cpp (local fallback) USE FOR: - "转文字", "转录", "transcribe this", "speech to text" - Any audio file (wav, mp3, m4a, flac, ogg, wma, aac) needs transcription - Video file needs transcription (extracts audio first via ffmpeg) - Douyin/video downloaded → auto transcribe - Need SRT/VTT subtitles from audio/video - "这个视频说的什么", "听一下这个音频" REPLACES: openai-whisper, openai-whisper-api, mlx-whisper, douyin-transcript (for ASR step) REQUIRES: ffmpeg OPTIONAL: mlx-qwen3-asr (pip), GROQ_API_KEY, whisper-cli (brew)
系统化研究 skill — 螺旋收敛模型。把任何问题（模糊或清晰）分解成子问题，迭代搜索，越搜越清晰，直到每个子问题都有答案。 Triggers: "帮我研究", "研究一下", "调研", "分析对比", "research", "investigate", "look up" 也触发: 竞品分析、市场调研、技术选型对比、趋势了解 Does NOT trigger: - 已经知道答案的简单事实问题 - 用户直接给了 URL 要抓取的 - 代码调试、写代码任务 Output: 结构化研究报告（结论 + 子问题答案 + 来源 + 争议点 + 未解决缺口）
| name | load |
| description | 检查 agent 是否已加载 bootstrap 文件 |
| user-invocable | true |
检查 bootstrap 文件加载状态。
BOOTSTRAP-CHECK.md（如果存在）✅ /load 检查完成
**已知：**
- 用户：[名字]
- 我：[身份]
- 模型：[当前模型]
**状态：** [已加载 / 部分加载 / 需要读取]